#!/usr/bin/env python # coding: utf-8 # # Interactive extraction of pixel values and interactive region reduction # ## Interactive extraction of pixel values # ### Import libraries # In[ ]: import os import ee import geemap # ### Create an interactive map # In[ ]: Map = geemap.Map() Map # ### Add data to the map # In[ ]: landsat7 = ee.Image('LE7_TOA_5YEAR/1999_2003') \ .select([0, 1, 2, 3, 4, 6]) landsat_vis = { 'bands': ['B4', 'B3', 'B2'], 'gamma': 1.4 } Map.addLayer(landsat7, landsat_vis, "LE7_TOA_5YEAR/1999_2003") Map.set_plot_options(add_marker_cluster=True) # ### Activate the plotting tool # # Tick the `Plotting` checkbox and click the mouse on the map to start displaying charts. # ### Export pixel values to shapefile/csv # In[ ]: out_dir = os.path.join(os.path.expanduser('~'), 'Downloads') # out_csv = os.path.join(out_dir, 'points.csv') out_shp = os.path.join(out_dir, 'points.shp') # In[ ]: Map.extract_values_to_points(out_shp) # ## Interactive Region Reduction # ### Import libraries # In[ ]: import os import ee import geemap # ### Create an interactive map # In[ ]: m = geemap.Map() # ### Add add to the map # In[ ]: collection = ee.ImageCollection('MODIS/006/MOD13A2') \ .filterDate('2015-01-01', '2019-12-31') \ .select('NDVI') # Convert the image collection to an image. image = collection.toBands() ndvi_vis = { 'min': 0.0, 'max': 9000.0, 'palette': [ 'FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901', '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01', '012E01', '011D01', '011301' ] } m.addLayer(image, {}, 'MODIS NDVI Time-series') m.addLayer(image.select(0), ndvi_vis, 'MODIS NDVI VIS') m # ### Set reducer # In[ ]: m.set_plot_options(add_marker_cluster=True, marker=None) m.roi_reducer = ee.Reducer.mean() # ### Export data # In[ ]: out_dir = os.path.join(os.path.expanduser('~'), 'Downloads') # out_csv = os.path.join(out_dir, 'points.csv') out_shp = os.path.join(out_dir, 'ndvi.shp') m.extract_values_to_points(out_shp)